Data-Driven Scheduling of Semiconductor Manufacturing Systems

Semiconductor Manufacturing System Scheduling.- Data-driven Scheduling Framework of Semiconductor Manufacturing System.- Data Preprocessing of Semiconductor Manufacturing System.- Correlation Analysis of Performance Index of Semiconductor Production Line.- Data-driven Feeding Control of Semiconductor Manufacturing System.- Dynamic Scheduling of Semiconductor Manufacturing System Driven by Data.- Dynamic Scheduling of Performance-Driven Semiconductor Manufacturing System.- Development Trend of Semiconductor Manufacturing System Scheduling in Big Data Environment.

Li Li received the B.S. and M.S. degrees from Shenyang Agriculture University, China, in 1996 and 1999, respectively, and the Ph.D. degree from Shenyang Institute of Automation, Chinese Academy of Sciences, in 2003. She joined Tongji University, Shanghai, China, in 2003, and is presently Professor of Control Science and Engineering. Her research interests are in data-driven modeling and optimization, intelligent manufacturing, artificial intelligence, and computational intelligence. Li Li has received numerous awards and honors, including but not limited to the innovation team award, first prize of technical invention, best application paper award, best paper nomination award, etc. In addition, she has published four monographs and more than 70 academic papers and has presided over or participated in more than ten national scientific research projects.

Kuo-Yi Lin received the B.S. degree in Statistics from Cheng Kung University, Taiwan, China, in 2007 and an M.S. degree andPh.D. degree in Industrial Engineering and Engineering Management from Tsing Hua University, Taiwan, China, in 2009 and 2014. He is a director of China Excellent Business Decision Making Society, member of Intelligent Simulation Optimization and Scheduling Committee of China Simulation Society, member of Natural Computing and Digital Intelligent City Committee of China Artificial Intelligence Society, member of Industrial Big Data and Intelligent System Branch of China Mechanical Engineering Society. He is mainly engaged in intelligent manufacturing, federated learning, quantum algorithm and transfer learning.

Qingyun Yu received the B.S. degree from Jiangnan University, China, in 2013 and Ph.D. degree in College of Electronic and Information Engineering from Tongji University, China, in 2021. She is now a postdoctoral fellow at the College of Electronic and Information Engineering, Tongji University. Her research interests are in data-driven modeling and optimization,